Report for Model 0

— for both jointly and separately

2024-08-10

1. Joint Modeling

1.1 Trace plots for convergence check

The current MCMC setting is:

  • 100,000 iteration;
  • 90,000 burn-in;
  • 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.02
## LDevsum       1.00       1.01
## dl0           1.06       1.18
## dl1           1.03       1.08
## 
## Multivariate psrf
## 
## 1.07

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

  • Total deviance;
  • Variables that didn’t pass the convergence check.

1.4 WAIC results

LevelH LevelL
DIC 12343.3428 33821.3570
DIC3 12406.2875 33901.4359
PWAIC 92.9698 162.8667
WAIC 12411.1078 33906.4019

2. Separate Modeling

2.1 Trace plots for convergence check

The current MCMC setting is:

  • 100,000 iteration;
  • 90,000 burn-in;
  • 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.04
## LDevsum       1.00       1.02
## dl0           1.19       1.48
## dl1           1.09       1.25
## 
## Multivariate psrf
## 
## 1.16

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

  • Total deviance;
  • Variables that didn’t pass the convergence check.

2.4 WAIC results

LevelH LevelL
DIC 12343.33287 33819.8974
DIC3 12404.25581 33901.3866
PWAIC 90.42995 162.5199
WAIC 12408.11394 33905.4610